Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications
Object category:
Elektronische Ressource
Person/Institution:
Publisher:
Taylor & Francis Group
Ort:
Milton
Date:
2022
Language:
Englisch
Additional information
Abstract:
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Editors -- Contributors -- Chapter 1 A Review of Automated Sleep Apnea Detection Using Deep Neural Network -- 1.1 Introduction -- 1.2 Materials and Methods -- 1.3 Signal and Dataset -- 1.3.1 Based on Pulse Oxygen Saturation Signal -- 1.3.2 Based on Electrocardiogram (ECG) -- 1.3.3 Based on Airflow (AF) -- 1.3.4 Based on Sound -- 1.4 Data Preprocessing -- 1.4.1 Raw Signal -- 1.4.2 Filtered Signal -- 1.4.3 Signal Normalization -- 1.4.4 Spectrogram -- 1.4.5 Feature Analyses -- 1.5 Performance Metrics -- 1.6 Classifiers -- 1.6.1 CNN -- 1.6.1.1 D1CNN -- 1.6.1.2 D2CNN -- 1.6.2 RNN -- 1.6.2.1 LSTM -- 1.6.2.2 GRU -- 1.6.3 Deep Vanilla Neural Network (DVNN) -- 1.6.3.1 MHLNN -- 1.6.3.2 SSAE -- 1.6.3.3 DBN -- 1.6.4 Combined DNN Approach -- 1.7 Discussion -- 1.8 Conclusion -- References -- Chapter 2 Optimization of Tool Wear Rate Using Artificial Intelligence-Based TLBO and Cuckoo Search Approach -- 2.1 Introduction -- 2.2 Artificial Intelligence -- 2.3 Electric Discharge Machining (EDM) -- 2.4 Analysis of Variance (ANOVA) -- 2.5 Optimization -- 2.5.1 Cuckoo Search Algorithm -- 2.5.2 Teaching-Learning-Based Optimization -- 2.6 Experimental Details and Results -- 2.7 Conclusion -- References -- Chapter 3 Lung Tumor Segmentation Using a 3D Densely Connected Convolutional Neural Network -- 3.1 Introduction -- 3.2 Literature Survey -- 3.2.1 Traditional vs Deep Learning Approaches -- 3.2.2 Lung Nodule Detection -- 3.2.3 Lung Tumor Detection -- 3.3 Related Work -- 3.3.1 U-Net Segmentation Model -- 3.3.2 DenseNet Model -- 3.4 Proposed Methodology -- 3.4.1 Dataset -- 3.4.1.1 Dataset Description -- 3.4.1.2 Data Preprocessing -- 3.4.2 Segmentation Model -- 3.4.2.1 Model Architecture -- 3.4.2.2 Model Training -- 3.5 Experimental Results -- 3.5.1 Evaluation Criteria.
Object text:
Description based on publisher supplied metadata and other sources
Access and usage options
Citation link:
Administrative details
Created:
2023-04-12
Last changed:
2022-09-27
Added to portal:
2023-04-12
Feedback
Our data sets are in constant development. If you have additional information about this object or discovered an error, please write to us. Information on privacy policy
Ähnliche Objekte
Entdecken Sie ähnliche Objekte. Über die Datenfelder können Sie die Objekte auswählen, die Sie interessieren. Sie können Ihre Suchfilter beibehalten oder deaktivieren.
Suchfilter berücksichtigen
-
Object category:
- 101136
-
Language:
- 166554